Exploiting Physical Layer Advances in Wireless Networks Michael Honig Department of EECS Northwestern University.

Slides:



Advertisements
Similar presentations
How not to leave any money on the table: interference, feedback and side information David Tse Wireless Foundations U.C. Berkeley June 7, 2012 TCE Conference.
Advertisements

Feedback for Interference Mitigation David Tse Wireless Foundations Dept. of EECS U.C. Berkeley CWIT May 20, 2011 TexPoint fonts used in EMF. Read the.
Multi-carrier CDMA. Outline Introduction System Model Types Applications References.
VSMC MIMO: A Spectral Efficient Scheme for Cooperative Relay in Cognitive Radio Networks 1.
Azin Dastpak August 2010 Simon Fraser University.
Resource Allocation Software Algorithms for AMC-OFDM Systems Dr. Muayad Sadik Croock Computer Engineering Department, University of Technology 1.
Group #1: Protocols for Wireless Mobile Environments.
EE359 – Lecture 16 Outline MIMO Beamforming MIMO Diversity/Multiplexing Tradeoffs MIMO Receiver Design Maximum-Likelihood, Decision Feedback, Sphere Decoder.
Topology Control for Effective Interference Cancellation in Multi-User MIMO Networks E. Gelal, K. Pelechrinis, T.S. Kim, I. Broustis Srikanth V. Krishnamurthy,
June 4, 2015 On the Capacity of a Class of Cognitive Radios Sriram Sridharan in collaboration with Dr. Sriram Vishwanath Wireless Networking and Communications.
Node Cooperation and Cognition in Dynamic Wireless Networks
EE360: Lecture 9 Outline Multiuser OFDM Announcements: Project abstract due next Friday Multiuser OFDM Adaptive Techniques “OFDM with adaptive subcarrier,
Cross Layer Design in Wireless Networks Andrea Goldsmith Stanford University Crosslayer Design Panel ICC May 14, 2003.
Collaborative Wireless Networks Computer Laboratory Digital Technology Group Wireless Communications Today Wireless communications today has evolved into.
A. Paulraj Stanford University & Iospan Wireless Broadband Wireless The MIMO Advantage Wireless Internet and Mobile Computing SNRC/Accel Symposium Stanford.
CS541 Advanced Networking 1 Cognitive Radio Networks Neil Tang 1/28/2009.
Sep 08, 2005CS477: Analog and Digital Communications1 Example Systems, Signals Analog and Digital Communications Autumn
Breaking Spectrum Gridlock through Cognitive and Cooperative Radios Andrea Goldsmith Stanford University Quantenna Communications, Inc MSR Cognitive Wireless.
Cooperative Diversity Scheme Based on MIMO-OFDM in Small Cell Network Dong-Hyun Ha Sejong University.
Network diversity in broadband wireless system ONR workshop 2003 Hui Liu Department of Electrical Engineering University of Washington.
A Cooperative Diversity- Based Robust MAC Protocol in wireless Ad Hoc Networks Sangman Moh, Chansu Yu Chosun University, Cleveland State University Korea,
Beyond Cognitive Radio: Lower Layer Protocols Venu Veeravalli Yingbin Liang.
RELIABLE MULTIMEDIA TRANSMISSION OVER COGNITIVE RADIO NETWORKS USING FOUNTAIN CODES Proceedings of the IEEE | Vol. 96, No. 1, January 2008 Harikeshwar.
1 11 Subcarrier Allocation and Bit Loading Algorithms for OFDMA-Based Wireless Networks Gautam Kulkarni, Sachin Adlakha, Mani Srivastava UCLA IEEE Transactions.
Zukang Shen, Jeffrey Andrews, and Brian Evans
Low Complexity Virtual Antenna Arrays Using Cooperative Relay Selection Aggelos Bletsas, Ashish Khisti, and Moe Z. Win Laboratory for Information and Decision.
Wireless Networks Breakout Session Summary September 21, 2012.
Information Theory for Mobile Ad-Hoc Networks (ITMANET): The FLoWS Project Thrust 2 Layerless Dynamic Networks Lizhong Zheng, Todd Coleman.
Mohammadreza Ataei Instructor : Prof. J.Omidi. 2.
Ger man Aerospace Center Gothenburg, April, 2007 High Spectral Efficient and Flexible Next Generation Mobile Communications Simon Plass, Stephan.
COST289 14th MCM Towards Cognitive Communications 13 April Towards Cognitive Communications A COST Action Proposal Mehmet Safak.
Overview of Research Activities Aylin Yener
MAC Protocols In Sensor Networks.  MAC allows multiple users to share a common channel.  Conflict-free protocols ensure successful transmission. Channel.
A Survey of Spectrum Sensing Algorithm for Cognitive Radio Applications YaGun Wu netlab.
Ch 11. Multiple Antenna Techniques for WMNs Myungchul Kim
Sangeetha Nandan (1ay05cs057)
Cooperative Wireless Networks Hamid Jafarkhani Director Center for Pervasive Communications and Computing
Covilhã, 30 June Atílio Gameiro Page 1 The information in this document is provided as is and no guarantee or warranty is given that the information is.
Advanced interference coordination techniques in heterogeneous cellular networks Collaborator: Naga Bhushan, Mohammad Jaber Borran, Aamod Khandekar, Ritesh.
Adaptive Resource Allocation for OFDMA Systems Mr. Zukang Shen Mr. Ian Wong Prof. Brian Evans Prof. Jeff Andrews April 28, 2005.
Multimedia Transmission Over Cognitive Radio Networks using Decode-and-Forward Multi-Relays and Rateless Coding Abdelaali Chaoub, Elhassane Ibn-Elhaj National.
ECE External Research Board Meeting Wireless Network and Communications Tan F. Wong Wireless Information and Networking Group
EE360: Lecture 9 Outline Announcements Cooperation in Ad Hoc Networks
Orthogonal Frequency Division Multiplexing
Hangguan Shan, Member, IEEE, Ho Ting Cheng, Student Member, IEEE, and Weihua Zhuang, Fellow, IEEE Cross-Layer Cooperative MAC Protocol in Distributed Wireless.
Space Time Codes. 2 Attenuation in Wireless Channels Path loss: Signals attenuate due to distance Shadowing loss : absorption of radio waves by scattering.
Cognitive Radios Motivation: scarce wireless spectrum
5: Capacity of Wireless Channels Fundamentals of Wireless Communication, Tse&Viswanath 1 5. Capacity of Wireless Channels.
The 3R’s of Spectrum Management: Reuse, Recycle and Reduce PI: D. Tse, co-PI’s: M. Gastpar, A. Parekh, K. Ramchandran, A. Sahai, H. Shelanski University.
How wireless networks scale: the illusion of spectrum scarcity David P. Reed [ Presented at International Symposium on Advanced.
Abstract: In many scenarios, wireless presents a tempting "last-mile" alternative to a wired connection for the delivery of internet service. However,
Dynamic Spectrum Access/Management Models Exclusive-Use Model Shared-Use Model.
Cooperative Communication
Scheduling Considerations for Multi-User MIMO
Adaptive Usage of Main Resources in MIMO-Cognitive Radio Networks Shalva Kvirkvelia (PHD student) Prof. Teimuraz Kortua Prof. Jemal Beridze.
1 Architecture and Behavioral Model for Future Cognitive Heterogeneous Networks Advisor: Wei-Yeh Chen Student: Long-Chong Hung G. Chen, Y. Zhang, M. Song,
Breakout Group 1 Summary NSF workshop on Bridging the Gap between Wireless Networking Technologies at the Physical Layer Aug
EE359 – Lecture 16 Outline Announcements Proposals due this Friday, 5pm (create website, url) HW 7 posted today, due 12/1 TA evaluations: 10 bonus.
INTRODUCTION:- The approaching 4G (fourth generation) mobile communication systems are projected to solve still-remaining problems of 3G (third generation)
Multiple Antennas.
History-based Adaptive Modulation for a Downlink Multicast Channel in OFDMA systems Haibo Wang, Hans Peter Schwefel and Thomas Skjodeberg Toftegaard Center.
Michael Einhaus, ComNets, RWTH Aachen University Distributed and Adjacent Subchannels in Cellular OFDMA Systems Michael Einhaus Chair of Communication.
SPECTRUM SHARING IN COGNITIVE RADIO NETWORK
Layerless Dynamic Networks
An Enhancement of WirelessHART Protocol
Nortel Corporate Presentation
5G Communication Technology
Towards IEEE HDR in the Enterprise
Presented by Mohamad Haidar, Ph.D. May 13, 2009 Moncton, NB, Canada
Efficient QoS for secondary users in cognitive radio systems
Presentation transcript:

Exploiting Physical Layer Advances in Wireless Networks Michael Honig Department of EECS Northwestern University

IEEE Spectrum Magazine, March 2004

Is spectrum scarce or abundant? Spectrum is scarce –Existing paradigm –Spectral efficiency is an important objective. –Physical layer advances play a crucial role in improving wireless networks. Spectrum is abundant –Does spectral efficiency matter? –How should spectrum be allocated among services (broadcast radio/TV, cellular, internet access,…)? –Should different wireless services share an infrastructure of access points?

Physical Layer Advances Turbo (iterative message passing) MIMO Relay (cooperation)

Adds degrees of freedom (DoFs) for diversity, multiplexing, interference mitigation and avoidance Two approaches: –Transmitters do not acquire Channel State Information (e.g., space-time codes) –Transmitters acquire CSI, optimize resource allocation (e.g., water-filling) Learning CSI can provide substantial benefits –Enables interference avoidance, can simplify coding –MIMO broadcast Overhead (feedback + channel estimation) is probably excessive for mobile users –e.g., 4x4 MIMO OFDM with 10 users, 100 sub-channels… Exploiting MIMO

Exchanging “interference prices” enables distributed power control in a spread spectrum network –Maximizes sum utility over links With MIMO/multi-carrier links, need an interference price for each signal dimension Tradeoff between information exchange (signaling overhead) and performance Transmitter Receiver Distributed Resource Allocation

Exploiting Relays Objective: allocate power/time/bandwidth across links to maximize network objective (e.g., sum utility). –Difficult optimization problem due to half-duplex constraints. Is exchanging local state information (e.g., interference prices) good enough? BST R M R M M M M M resources?

What if spectrum is abundant? Hinges on policy decisions –Spectrum “property rights” vs commons model –Vested interests Still need mechanisms for spectrum sharing –Sensing? –Incentives; spectrum markets? (what’s the commodity?) –How should spectrum be allocated among services? (broadcast radio/TV, cellular, internet access,…) –Should different wireless services share an infrastructure of access points?

Will wireless nodes become generic commodities? All-Purpose Wireless Buy Yours Today! (Before it’s obsolete) All-Purpose Wireless All-Purpose Wireless All-Purpose Wireless All-Purpose Wireless All-Purpose Wireless o o ooo